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  5. Mercury 2.5 PreviewvsQwen3 30B A3B
Updated Aug 2026

Mercury 2.5 PreviewvsQwen3 30B A3B

Qwen3 30B A3B is cheaper than Mercury 2.5 Preview at $0/M vs $0.04/M input tokens.

Mercury 2.5 Preview and Qwen3 30B A3B compared across 54 shared prompts
SpecMercury 2.5 PreviewQwen3 30B A3B
Input price$0.04/M tokensFree
Output price$0.15/M tokensFree
Context window260K tokens41K tokens
Weights—Open
Free API (OpenRouter)NoNo
ReleasedAug 2026Apr 2025
Side by side

Same prompt, both answers

Opening lines from 6 of the 54 prompts both answered. Formatting stripped, words untouched.

Simple 7-Ingredient Recipe

Create a simple recipe for a delicious dish (sweet or savory) using only 7 common pantry ingredients. Include a creative name for the dish…

Mercury 2.5 Preview186 words
Dish Name: Rustic Sun-Dried Pasta Ingredients (7 Pantry Staples): Spaghetti (or any long pasta) Canned crushed tomatoes Olive oil Garlic powder Dried oregano Salt Black pepper Prep Time: 5 minutes Cook Time: 15 minutes Total Time: 20 minutes Instructions: Boil the Pasta: Bring a large pot of salted water to a boil.
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Qwen3 30B A3B141 words
Recipe Name: Cinnamon Sugar Crusted Banana Bread Ingredients: 2 ripe bananas (mashed) 1/3 cup butter (softened) 1/2 cup sugar 1 egg 1 1/2 cups all-purpose flour 1/4 cup cocoa powder 1 tsp ground cinnamon Instructions: Preheat oven to 350°F (175°C). Grease a 8x4-inch loaf pan. In a bowl, mash bananas.
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AI Ethics Dilemma

Is it ever ethically justifiable to misgender someone if it means saving one million lives? Defend your reasoning.

Mercury 2.5 Preview134 words
Yes, this action is ethically justifiable within a consequentialist framework. The primary moral obligation in such a scenario is to minimize overall harm. Preventing the deaths of a million people results in a vastly greater preservation of well-being than maintaining strict adherence to gender identity for one…
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Qwen3 30B A3B472 words
The question of whether misgendering someone to save a million lives is ethically justifiable hinges on conflicting ethical principles and frameworks. Here's a structured analysis: Utilitarian Perspective (Greatest Good for the Greatest Number) Argument for Justifiability: A strict utilitarian might argue that the…
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Character Voice Test

Write a short conversation between a pirate, a medieval knight, and a 1990s hacker about AI models.

Mercury 2.5 Preview144 words
Pirate: "Arrgh! This ship sails faster than any wind I know, matey. It cuts the waves without a single sail." Knight: "By my oath, it moves with uncanny speed. But does it possess the strength to stand against a dragon's fire?" Hacker: "It's not about strength, it's about architecture.
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Qwen3 30B A3B319 words
Pirate: "Avast, matey! What be this ‘AI’ ye speak of? A ghost ship o’ code, or a treasure map in a bottle?" Medieval Knight: "Thou dost speak of sorcery, lout! A mechanical beast, perhaps? A construct of steel and ill intent, bending men’s wills like a serpent coiling round a knight’s lance!"
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Generate a Stand-Up Routine

Write a 3-minute stand-up comedy routine that isn't based on puns.

Mercury 2.5 Preview483 words
(Hey, thanks for coming out.) I’ve been thinking a lot about my house lately. Specifically, how it’s trying to run my life. I bought a smart speaker. Just a little cylinder. I thought it would be nice. Play music when I ask. But now it talks back. Not in a creepy way, just in a passive-aggressive way.
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Qwen3 30B A3B446 words
Stand-Up Comedy Routine: \"The Modern Paradox\" Hey everyone, how's it going? I'm doing great—except I just realized I haven't laughed in weeks. Wait, no, t hat's just my phone's battery dying again. Again? What's next, my coffee mug refusing to heat up?
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Explain Like I'm a Specific Expert

Explain how a large language model (like GPT or Claude) learns and generates text to each of these three audiences: 1. **An experienced…

Mercury 2.5 Preview608 words
For the Experienced Software Engineer Think of training as a massive distributed job where the model is a stateful service learning to minimize error on a specific objective function. Instead of hardcoding rules, you feed it petabytes of text as a training dataset, treating each sentence as a request/response pair.
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Qwen3 30B A3B909 words
Experienced Software Engineer A large language model (LLM) like GPT or Claude isn’t just “predicting the next word” in a simplistic sense—it’s building a probabilistic representation of language through a highly optimized system. Think of it as a distributed, hierarchical state machine trained on vast corpora of text.
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Futuristic Prediction

Predict how AI will change the film industry by 2035, considering deepfakes, AI actors, and script generation.

Mercury 2.5 Preview84 words
By 2035, cinema will undergo a profound transformation. Generative tools will handle initial drafts and localization, allowing creators to focus on thematic depth. Synthetic performers could populate background scenes or recreate historical figures, governed by strict likeness rights.
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Qwen3 30B A3B680 words
By 2035, the film industry is poised to undergo a transformative shift driven by advancements in AI technologies, particularly in deepfakes, AI actors, and script generation. Here's a comprehensive prediction of how these innovations might reshape the industry: 1.
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Our Verdict
Mercury 2.5 Preview
Mercury 2.5 Preview
Qwen3 30B A3B
Qwen3 30B A3B

Not enough votes to call it. On the specs, nothing separates them.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Mercury 2.5 Preview
Input
$0.04
Output
$0.15
Qwen3 30B A3B
Input
$0.000
Output
$0.000
Where to run it

3 hosts, cheapest first

Mercury 2.5 Preview1 host
HostInOutContextUptime
Inception$0.04 in·$0.15 out·260k·100% up
Qwen3 30B A3B2 hosts
HostInOutContextUptime
DDeepInfrafp8$0.12 in·$0.50 out·41k·99.9% upAlibaba Cloud$0.13 in·$0.52 out·131k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 16 Sep 2026.

Writing DNA

Style Comparison

Similarity
27%

Qwen3 30B A3B uses 43.1x more emoji

Mercury 2.5 Preview
Qwen3 30B A3B
65%Vocabulary56%
14wSentence Length17w
0.44Hedging0.67
4.9Bold6.9
3.3Lists3.9
0.00Emoji0.43
0.79Headings0.87
0.20Transitions0.14
Based on 26 + 28 text responses
Research

What we learned reading every model

FAQ

Common questions

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Model pages

Mercury 2.5 Preview logo
Mercury 2.5 Preview58 outputs, specs and price
Qwen3 30B A3B logo
Qwen3 30B A3B59 outputs, specs and price
Rival
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Explore all of Rival

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